Business Intelligence & Data Visualization for the Assessment of the Economic Situation Based on SVM & K-NN

EasyChair Preprint no. 10874

Abstract

In this paper, you will find explanations, described steps, and definitions of key concepts, which have contributed to the final results of this Business Intelligence project and Data science research.

This work has required techniques, methods, technologies and disciplines of computer science, including Business Intelligence (B.I), which has the role of converting raw data into meaningful decision-making information through data collection, integration and cleaning operations, unique data storage and organization techniques outside the traditional and real-time data analysis and visualization.

In sync with B.I, our second major discipline of computer science, Data Science, is more focused on extracting knowledge from data, using statistical techniques and advanced algorithms to solve complex problems and discover hidden patterns and trends.

Keyphrases: ARIMA, Business Intelligence, Consulting, Dashboard, Data Ana-lytics, Data Mining, Data Science, Data Viz, Datawarehouse, Extract-Transform-Load, F-1 score, K-means, KNN, KPI, linear regression, MSBI, Operational Data Store, Power BI, SSIS, Staging Area, SVM, XGBoost

@Booklet{EasyChair:10874,
  author = {Mohamed-Ali Ksouri and Sameh Souli},
  title = {Business Intelligence & Data Visualization for the Assessment of the Economic Situation Based on SVM & K-NN},
  howpublished = {EasyChair Preprint no. 10874},

  year = {EasyChair, 2023}}